Sensors that don't need tuning.
Auto-calibrating thresholds. Auto-generated from code.
Draft copy — replace before launch
The body of this persona page is illustrative placeholder content. Every [PLACEHOLDER] token and every specific number (minutes, hours, percentages, dollar amounts) must be confirmed with the client or generalized before this page is public. Source file: src/data/personas.ts → personas[].draftBody.
When Causum is in the loop for observability work.
Auto-generated from code
Sensors arrive per-entity from Domain Intelligence's read of the application code and schema.
Self-calibrating thresholds
Per entity, per mode (holiday, promo, post-release). Hysteresis built in. Re-tunes itself when traffic patterns shift.
Alert quality, measured
Precision and recall tracked per sensor. Bad signals get demoted automatically; quiet sensors get reviewed.
Before and after.
[PLACEHOLDER scenarios — illustrative only. Client to confirm.]
[PLACEHOLDER] Spend ~8 hours a week tuning thresholds. Half of new services launch with thresholds copied from a template that doesn't fit. The good sensors are the ones the on-call team has rewritten manually.
[PLACEHOLDER] New service deploys. Causum reads it, generates sensors, runs them in shadow for a week, auto-calibrates against your real traffic. You spot-check, you don't author.
What we'll measure together.
Targets are commitments we hit, or the engagement does not advance. Baselines are measured against your environment before Phase 1 begins.
| Metric | Before | Pilot target |
|---|---|---|
| Threshold tuning hours per week | [PLACEHOLDER ~8] | < 1 |
| New service time-to-meaningful-sensor | weeks | hours |
| Alert precision (per sensor) | unmeasured | tracked |
Observability pilot success: Reduction in alert-rule maintenance hours per week.
Measured against your pre-engagement baseline. We'll capture the baseline together in the free fit assessment that precedes Phase 1.
Same loop. Different first win.
Whichever seat — start with a pilot.
Free, one-week fit assessment. No commitment. Output is a written go/no-go recommendation.